mVAM: piloting mobile voice technology for household food security data collection
Organisation: UN World Food Programme
Location: Democratic Republic of Congo and Somalia
Type of grant: Core – implementation
The mVAM – ‘mobile Vulnerability Analysis and Mapping’ project provides the use of voice technology for household food security data collection. It is expected that mVAM would lead to a leap in time and cost-efficiency of data collection.
- High cost and cumbersome implementation of primary data collection from households for humanitarian needs assessments.
mVAM provides for the use of mobile voice technology for the collection of household food security data. The mVAM approach will allow a more precise understanding of time and cost-efficiency of voice relative to existing face-to-face methods of collecting data. Data collected through voice will feed into established information systems by providing additional, real time data for humanitarian decision making.
The mVAM approach is expected to increase cost-effectiveness and timeliness of data collection for short periodic surveys, such as WFP’s regular Food Security Monitoring Systems (FSMS) that track trends over time.
Innovation Phases Description
Key Deliverables / Impact
- Develop and configure the mVAM Interactive Voice Response (IVR) system.
- Compare cost-efficiency and speed of voice technology and face-to-face interviews for food security monitoring.
- Document lessons learned for using IVR to collect household food security data in humanitarian contexts.